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Data Mining and Machine Learning Applications
book

Data Mining and Machine Learning Applications

by Rohit Raja, Kapil Kumar Nagwanshi, Sandeep Kumar, K. Ramya Laxmi
March 2022
Intermediate to advanced content levelIntermediate to advanced
496 pages
12h 39m
English
Wiley-Scrivener
Content preview from Data Mining and Machine Learning Applications

6Data Mining Implementation Process

Kamal K. Mehta1, Rajesh Tiwari2* and Nishant Behar3

1Computer Science & Engineering, MPSTME NMIMS, Shirpur, Maharashtra, India

2Computer Science & Engineering, CMR Engg. College, Hyderabad, Telangana, India

3Computer Science & Engineering, S.O.S. (Engg. & Tech.), G.G.V. Bilaspur, Chhattisgarh, India

Abstract

Data mining assumes a significant job in different human exercises since it removes obscure valuable examples (or data). Because of its abilities, data mining has become a basic assignment in a huge number of use spaces, for example, banking, retail, clinical, protection, bioinformatics, and so on. To take an all-encompassing perspective on exploration patterns in the region of data mining, a far-reaching study is introduced in this paper. This paper presents an efficient and thorough study of different data mining errands and procedures. Further, different genuine utilization of data mining is introduced in this paper. The difficulties and issues in the region of data mining research are additionally introduced in this paper.

Keywords: Data mining implementation, data mining techniques, data mining calculations, data mining applications

6.1 Introduction

The advancement of knowledge in various fields of human life has contributed to vast amounts of information accumulating in numerous gatherings, such as documents, books, images, sound accounts, chronicles, coherent information, and various new information systems. The information ...

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Publisher Resources

ISBN: 9781119791782Purchase Link